Healthcare Fraud Detection Market Analysis and Forecast by Size, Share, Growth, Trends 2031
Coverage: Healthcare Fraud Detection Market covers analysis By Delivery Model (On-Premise, Cloud-Based); Component (Services, Software); Type (Predictive Analytics, Prescriptive Analytics, Descriptive Analytics); Application (Insurance Claims Review, Payment Integrity); End-User (Public or Government Agencies, Private Insurance Payers, Private Insurance Payers), and Geography (North America, Europe, Asia Pacific, and South and Central America)
- Report Date : Sep 2025
- Report Code : TIPHE100001199
- Category : Technology, Media and Telecommunications
- Status : Upcoming
- Available Report Formats :
- No. of Pages : 150
The Healthcare Fraud Detection Market is expected to register a CAGR of XX% from 2025 to 2031, with a market size expanding from US$ XX Million in 2024 to US$ XX Million by 2031.
The report is categorized by Delivery Model (On-Premise, Cloud-Based) and further analyzes the market based on Component (Services, Software). It also examines the market by Type (Predictive Analytics, Prescriptive Analytics, Descriptive Analytics) and Industry Application (Insurance Claims Review, Payment Integrity).A comprehensive breakdown is provided at global, regional, and country levels for each of these key segments.
The report includes market size and forecasts across all segments, presenting values in USD. It also delivers key statistics on the current market status of leading players, along with insights into prevailing market trends and emerging opportunities.
The report Healthcare Fraud Detection Market by The Insight Partners aims to describe the present landscape and future growth, top driving factors, challenges, and opportunities. This will provide insights to various business stakeholders, such as:
- Technology Providers/Manufacturers: To understand the evolving market dynamics and know the potential growth opportunities, enabling them to make informed strategic decisions.
- Investors: To conduct a comprehensive trend analysis regarding the market growth rate, market financial projections, and opportunities that exist across the value chain.
- Regulatory bodies: To regulate policies and police activities in the market with the aim of minimizing abuse, preserving investor trust and confidence, and upholding the integrity and stability of the market.
Healthcare Fraud Detection Market Segmentation
Delivery Model- On-Premise
- Cloud-Based
- Services
- Software
- Predictive Analytics
- Prescriptive Analytics
- Descriptive Analytics
- Insurance Claims Review
- Payment Integrity
Strategic Insights
Healthcare Fraud Detection Market Growth Drivers- Empowering Providers with AI for Smarter Fraud Prevention
- Enhancing Patient Trust through Transparent Billing Practices
- Leveraging Big Data Analytics to Uncover Hidden Fraud Patterns
- AI-Powered Tools Revolutionize Healthcare Fraud Detection
- Blockchain Ensures Transparency in Medical Billing Practices
- Patient-Centric Approaches Enhance Fraud Prevention Strategies
- Revolutionizing Patient Safety: AI in Healthcare Fraud Detection
- Empowering Providers: Streamlined Fraud Reporting Tools for Clinics
- Enhancing Trust: Blockchain Solutions for Transparent Healthcare Transactions
Market Report Scope
Key Selling Points
- Comprehensive Coverage: The report comprehensively covers the analysis of products, services, types, and end users of the Healthcare Fraud Detection Market, providing a holistic landscape.
- Expert Analysis: The report is compiled based on the in-depth understanding of industry experts and analysts.
- Up-to-date Information: The report assures business relevance due to its coverage of recent information and data trends.
- Customization Options: This report can be customized to cater to specific client requirements and suit the business strategies aptly.
The research report on the Healthcare Fraud Detection Market can, therefore, help spearhead the trail of decoding and understanding the industry scenario and growth prospects. Although there can be a few valid concerns, the overall benefits of this report tend to outweigh the disadvantages.
REGIONAL FRAMEWORK
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- Sample PDF showcases the content structure and the nature of the information with qualitative and quantitative analysis.
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Report Coverage
Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends
Segment Covered
This text is related
to segments covered.
Regional Scope
North America, Europe, Asia Pacific, Middle East & Africa, South & Central America
Country Scope
This text is related
to country scope.
1. INTRODUCTION
1.1. SCOPE OF THE STUDY
1.2. THE INSIGHT PARTNERS RESEARCH REPORT GUIDANCE
1.3. MARKET SEGMENTATION
1.3.1 Healthcare Fraud Detection Market - By Delivery Model
1.3.2 Healthcare Fraud Detection Market - By Component
1.3.3 Healthcare Fraud Detection Market - By Type
1.3.4 Healthcare Fraud Detection Market - By Application
1.3.5 Healthcare Fraud Detection Market - By End-User
1.3.6 Healthcare Fraud Detection Market - By Region
1.3.6.1 By Country
2. KEY TAKEAWAYS
3. RESEARCH METHODOLOGY
4. HEALTHCARE FRAUD DETECTION MARKET LANDSCAPE
4.1. OVERVIEW
4.2. PEST ANALYSIS
4.2.1 North America - Pest Analysis
4.2.2 Europe - Pest Analysis
4.2.3 Asia-Pacific - Pest Analysis
4.2.4 Middle East and Africa - Pest Analysis
4.2.5 South and Central America - Pest Analysis
4.3. EXPERT OPINIONS
5. HEALTHCARE FRAUD DETECTION MARKET - KEY MARKET DYNAMICS
5.1. KEY MARKET DRIVERS
5.2. KEY MARKET RESTRAINTS
5.3. KEY MARKET OPPORTUNITIES
5.4. FUTURE TRENDS
5.5. IMPACT ANALYSIS OF DRIVERS AND RESTRAINTS
6. HEALTHCARE FRAUD DETECTION MARKET - GLOBAL MARKET ANALYSIS
6.1. HEALTHCARE FRAUD DETECTION - GLOBAL MARKET OVERVIEW
6.2. HEALTHCARE FRAUD DETECTION - GLOBAL MARKET AND FORECAST TO 2028
6.3. MARKET POSITIONING
7. HEALTHCARE FRAUD DETECTION MARKET - REVENUE AND FORECASTS TO 2028 - DELIVERY MODEL
7.1. OVERVIEW
7.2. DELIVERY MODEL MARKET FORECASTS AND ANALYSIS
7.3. ON-PREMISE
7.3.1. Overview
7.3.2. On-Premise Market Forecast and Analysis
7.4. CLOUD-BASED
7.4.1. Overview
7.4.2. Cloud-Based Market Forecast and Analysis
8. HEALTHCARE FRAUD DETECTION MARKET - REVENUE AND FORECASTS TO 2028 - COMPONENT
8.1. OVERVIEW
8.2. COMPONENT MARKET FORECASTS AND ANALYSIS
8.3. SERVICES
8.3.1. Overview
8.3.2. Services Market Forecast and Analysis
8.4. SOFTWARE
8.4.1. Overview
8.4.2. Software Market Forecast and Analysis
9. HEALTHCARE FRAUD DETECTION MARKET - REVENUE AND FORECASTS TO 2028 - TYPE
9.1. OVERVIEW
9.2. TYPE MARKET FORECASTS AND ANALYSIS
9.3. PREDICTIVE ANALYTICS
9.3.1. Overview
9.3.2. Predictive Analytics Market Forecast and Analysis
9.4. PRESCRIPTIVE ANALYTICS
9.4.1. Overview
9.4.2. Prescriptive Analytics Market Forecast and Analysis
9.5. DESCRIPTIVE ANALYTICS
9.5.1. Overview
9.5.2. Descriptive Analytics Market Forecast and Analysis
10. HEALTHCARE FRAUD DETECTION MARKET - REVENUE AND FORECASTS TO 2028 - APPLICATION
10.1. OVERVIEW
10.2. APPLICATION MARKET FORECASTS AND ANALYSIS
10.3. INSURANCE CLAIMS REVIEW
10.3.1. Overview
10.3.2. Insurance Claims Review Market Forecast and Analysis
10.4. PAYMENT INTEGRITY
10.4.1. Overview
10.4.2. Payment Integrity Market Forecast and Analysis
11. HEALTHCARE FRAUD DETECTION MARKET - REVENUE AND FORECASTS TO 2028 - END-USER
11.1. OVERVIEW
11.2. END-USER MARKET FORECASTS AND ANALYSIS
11.3. PUBLIC OR GOVERNMENT AGENCIES
11.3.1. Overview
11.3.2. Public or Government Agencies Market Forecast and Analysis
11.4. PRIVATE INSURANCE PAYERS
11.4.1. Overview
11.4.2. Private Insurance Payers Market Forecast and Analysis
11.5. PRIVATE INSURANCE PAYERS
11.5.1. Overview
11.5.2. Private Insurance Payers Market Forecast and Analysis
12. HEALTHCARE FRAUD DETECTION MARKET REVENUE AND FORECASTS TO 2028 - GEOGRAPHICAL ANALYSIS
12.1. NORTH AMERICA
12.1.1 North America Healthcare Fraud Detection Market Overview
12.1.2 North America Healthcare Fraud Detection Market Forecasts and Analysis
12.1.3 North America Healthcare Fraud Detection Market Forecasts and Analysis - By Delivery Model
12.1.4 North America Healthcare Fraud Detection Market Forecasts and Analysis - By Component
12.1.5 North America Healthcare Fraud Detection Market Forecasts and Analysis - By Type
12.1.6 North America Healthcare Fraud Detection Market Forecasts and Analysis - By Application
12.1.7 North America Healthcare Fraud Detection Market Forecasts and Analysis - By End-User
12.1.8 North America Healthcare Fraud Detection Market Forecasts and Analysis - By Countries
12.1.8.1 United States Healthcare Fraud Detection Market
12.1.8.1.1 United States Healthcare Fraud Detection Market by Delivery Model
12.1.8.1.2 United States Healthcare Fraud Detection Market by Component
12.1.8.1.3 United States Healthcare Fraud Detection Market by Type
12.1.8.1.4 United States Healthcare Fraud Detection Market by Application
12.1.8.1.5 United States Healthcare Fraud Detection Market by End-User
12.1.8.2 Canada Healthcare Fraud Detection Market
12.1.8.2.1 Canada Healthcare Fraud Detection Market by Delivery Model
12.1.8.2.2 Canada Healthcare Fraud Detection Market by Component
12.1.8.2.3 Canada Healthcare Fraud Detection Market by Type
12.1.8.2.4 Canada Healthcare Fraud Detection Market by Application
12.1.8.2.5 Canada Healthcare Fraud Detection Market by End-User
12.1.8.3 Mexico Healthcare Fraud Detection Market
12.1.8.3.1 Mexico Healthcare Fraud Detection Market by Delivery Model
12.1.8.3.2 Mexico Healthcare Fraud Detection Market by Component
12.1.8.3.3 Mexico Healthcare Fraud Detection Market by Type
12.1.8.3.4 Mexico Healthcare Fraud Detection Market by Application
12.1.8.3.5 Mexico Healthcare Fraud Detection Market by End-User
12.2. EUROPE
12.2.1 Europe Healthcare Fraud Detection Market Overview
12.2.2 Europe Healthcare Fraud Detection Market Forecasts and Analysis
12.2.3 Europe Healthcare Fraud Detection Market Forecasts and Analysis - By Delivery Model
12.2.4 Europe Healthcare Fraud Detection Market Forecasts and Analysis - By Component
12.2.5 Europe Healthcare Fraud Detection Market Forecasts and Analysis - By Type
12.2.6 Europe Healthcare Fraud Detection Market Forecasts and Analysis - By Application
12.2.7 Europe Healthcare Fraud Detection Market Forecasts and Analysis - By End-User
12.2.8 Europe Healthcare Fraud Detection Market Forecasts and Analysis - By Countries
12.2.8.1 Germany Healthcare Fraud Detection Market
12.2.8.1.1 Germany Healthcare Fraud Detection Market by Delivery Model
12.2.8.1.2 Germany Healthcare Fraud Detection Market by Component
12.2.8.1.3 Germany Healthcare Fraud Detection Market by Type
12.2.8.1.4 Germany Healthcare Fraud Detection Market by Application
12.2.8.1.5 Germany Healthcare Fraud Detection Market by End-User
12.2.8.2 France Healthcare Fraud Detection Market
12.2.8.2.1 France Healthcare Fraud Detection Market by Delivery Model
12.2.8.2.2 France Healthcare Fraud Detection Market by Component
12.2.8.2.3 France Healthcare Fraud Detection Market by Type
12.2.8.2.4 France Healthcare Fraud Detection Market by Application
12.2.8.2.5 France Healthcare Fraud Detection Market by End-User
12.2.8.3 Italy Healthcare Fraud Detection Market
12.2.8.3.1 Italy Healthcare Fraud Detection Market by Delivery Model
12.2.8.3.2 Italy Healthcare Fraud Detection Market by Component
12.2.8.3.3 Italy Healthcare Fraud Detection Market by Type
12.2.8.3.4 Italy Healthcare Fraud Detection Market by Application
12.2.8.3.5 Italy Healthcare Fraud Detection Market by End-User
12.2.8.4 Spain Healthcare Fraud Detection Market
12.2.8.4.1 Spain Healthcare Fraud Detection Market by Delivery Model
12.2.8.4.2 Spain Healthcare Fraud Detection Market by Component
12.2.8.4.3 Spain Healthcare Fraud Detection Market by Type
12.2.8.4.4 Spain Healthcare Fraud Detection Market by Application
12.2.8.4.5 Spain Healthcare Fraud Detection Market by End-User
12.2.8.5 United Kingdom Healthcare Fraud Detection Market
12.2.8.5.1 United Kingdom Healthcare Fraud Detection Market by Delivery Model
12.2.8.5.2 United Kingdom Healthcare Fraud Detection Market by Component
12.2.8.5.3 United Kingdom Healthcare Fraud Detection Market by Type
12.2.8.5.4 United Kingdom Healthcare Fraud Detection Market by Application
12.2.8.5.5 United Kingdom Healthcare Fraud Detection Market by End-User
12.2.8.6 Rest of Europe Healthcare Fraud Detection Market
12.2.8.6.1 Rest of Europe Healthcare Fraud Detection Market by Delivery Model
12.2.8.6.2 Rest of Europe Healthcare Fraud Detection Market by Component
12.2.8.6.3 Rest of Europe Healthcare Fraud Detection Market by Type
12.2.8.6.4 Rest of Europe Healthcare Fraud Detection Market by Application
12.2.8.6.5 Rest of Europe Healthcare Fraud Detection Market by End-User
12.3. ASIA-PACIFIC
12.3.1 Asia-Pacific Healthcare Fraud Detection Market Overview
12.3.2 Asia-Pacific Healthcare Fraud Detection Market Forecasts and Analysis
12.3.3 Asia-Pacific Healthcare Fraud Detection Market Forecasts and Analysis - By Delivery Model
12.3.4 Asia-Pacific Healthcare Fraud Detection Market Forecasts and Analysis - By Component
12.3.5 Asia-Pacific Healthcare Fraud Detection Market Forecasts and Analysis - By Type
12.3.6 Asia-Pacific Healthcare Fraud Detection Market Forecasts and Analysis - By Application
12.3.7 Asia-Pacific Healthcare Fraud Detection Market Forecasts and Analysis - By End-User
12.3.8 Asia-Pacific Healthcare Fraud Detection Market Forecasts and Analysis - By Countries
12.3.8.1 Australia Healthcare Fraud Detection Market
12.3.8.1.1 Australia Healthcare Fraud Detection Market by Delivery Model
12.3.8.1.2 Australia Healthcare Fraud Detection Market by Component
12.3.8.1.3 Australia Healthcare Fraud Detection Market by Type
12.3.8.1.4 Australia Healthcare Fraud Detection Market by Application
12.3.8.1.5 Australia Healthcare Fraud Detection Market by End-User
12.3.8.2 China Healthcare Fraud Detection Market
12.3.8.2.1 China Healthcare Fraud Detection Market by Delivery Model
12.3.8.2.2 China Healthcare Fraud Detection Market by Component
12.3.8.2.3 China Healthcare Fraud Detection Market by Type
12.3.8.2.4 China Healthcare Fraud Detection Market by Application
12.3.8.2.5 China Healthcare Fraud Detection Market by End-User
12.3.8.3 India Healthcare Fraud Detection Market
12.3.8.3.1 India Healthcare Fraud Detection Market by Delivery Model
12.3.8.3.2 India Healthcare Fraud Detection Market by Component
12.3.8.3.3 India Healthcare Fraud Detection Market by Type
12.3.8.3.4 India Healthcare Fraud Detection Market by Application
12.3.8.3.5 India Healthcare Fraud Detection Market by End-User
12.3.8.4 Japan Healthcare Fraud Detection Market
12.3.8.4.1 Japan Healthcare Fraud Detection Market by Delivery Model
12.3.8.4.2 Japan Healthcare Fraud Detection Market by Component
12.3.8.4.3 Japan Healthcare Fraud Detection Market by Type
12.3.8.4.4 Japan Healthcare Fraud Detection Market by Application
12.3.8.4.5 Japan Healthcare Fraud Detection Market by End-User
12.3.8.5 South Korea Healthcare Fraud Detection Market
12.3.8.5.1 South Korea Healthcare Fraud Detection Market by Delivery Model
12.3.8.5.2 South Korea Healthcare Fraud Detection Market by Component
12.3.8.5.3 South Korea Healthcare Fraud Detection Market by Type
12.3.8.5.4 South Korea Healthcare Fraud Detection Market by Application
12.3.8.5.5 South Korea Healthcare Fraud Detection Market by End-User
12.3.8.6 Rest of Asia-Pacific Healthcare Fraud Detection Market
12.3.8.6.1 Rest of Asia-Pacific Healthcare Fraud Detection Market by Delivery Model
12.3.8.6.2 Rest of Asia-Pacific Healthcare Fraud Detection Market by Component
12.3.8.6.3 Rest of Asia-Pacific Healthcare Fraud Detection Market by Type
12.3.8.6.4 Rest of Asia-Pacific Healthcare Fraud Detection Market by Application
12.3.8.6.5 Rest of Asia-Pacific Healthcare Fraud Detection Market by End-User
12.4. MIDDLE EAST AND AFRICA
12.4.1 Middle East and Africa Healthcare Fraud Detection Market Overview
12.4.2 Middle East and Africa Healthcare Fraud Detection Market Forecasts and Analysis
12.4.3 Middle East and Africa Healthcare Fraud Detection Market Forecasts and Analysis - By Delivery Model
12.4.4 Middle East and Africa Healthcare Fraud Detection Market Forecasts and Analysis - By Component
12.4.5 Middle East and Africa Healthcare Fraud Detection Market Forecasts and Analysis - By Type
12.4.6 Middle East and Africa Healthcare Fraud Detection Market Forecasts and Analysis - By Application
12.4.7 Middle East and Africa Healthcare Fraud Detection Market Forecasts and Analysis - By End-User
12.4.8 Middle East and Africa Healthcare Fraud Detection Market Forecasts and Analysis - By Countries
12.4.8.1 South Africa Healthcare Fraud Detection Market
12.4.8.1.1 South Africa Healthcare Fraud Detection Market by Delivery Model
12.4.8.1.2 South Africa Healthcare Fraud Detection Market by Component
12.4.8.1.3 South Africa Healthcare Fraud Detection Market by Type
12.4.8.1.4 South Africa Healthcare Fraud Detection Market by Application
12.4.8.1.5 South Africa Healthcare Fraud Detection Market by End-User
12.4.8.2 Saudi Arabia Healthcare Fraud Detection Market
12.4.8.2.1 Saudi Arabia Healthcare Fraud Detection Market by Delivery Model
12.4.8.2.2 Saudi Arabia Healthcare Fraud Detection Market by Component
12.4.8.2.3 Saudi Arabia Healthcare Fraud Detection Market by Type
12.4.8.2.4 Saudi Arabia Healthcare Fraud Detection Market by Application
12.4.8.2.5 Saudi Arabia Healthcare Fraud Detection Market by End-User
12.4.8.3 U.A.E Healthcare Fraud Detection Market
12.4.8.3.1 U.A.E Healthcare Fraud Detection Market by Delivery Model
12.4.8.3.2 U.A.E Healthcare Fraud Detection Market by Component
12.4.8.3.3 U.A.E Healthcare Fraud Detection Market by Type
12.4.8.3.4 U.A.E Healthcare Fraud Detection Market by Application
12.4.8.3.5 U.A.E Healthcare Fraud Detection Market by End-User
12.4.8.4 Rest of Middle East and Africa Healthcare Fraud Detection Market
12.4.8.4.1 Rest of Middle East and Africa Healthcare Fraud Detection Market by Delivery Model
12.4.8.4.2 Rest of Middle East and Africa Healthcare Fraud Detection Market by Component
12.4.8.4.3 Rest of Middle East and Africa Healthcare Fraud Detection Market by Type
12.4.8.4.4 Rest of Middle East and Africa Healthcare Fraud Detection Market by Application
12.4.8.4.5 Rest of Middle East and Africa Healthcare Fraud Detection Market by End-User
12.5. SOUTH AND CENTRAL AMERICA
12.5.1 South and Central America Healthcare Fraud Detection Market Overview
12.5.2 South and Central America Healthcare Fraud Detection Market Forecasts and Analysis
12.5.3 South and Central America Healthcare Fraud Detection Market Forecasts and Analysis - By Delivery Model
12.5.4 South and Central America Healthcare Fraud Detection Market Forecasts and Analysis - By Component
12.5.5 South and Central America Healthcare Fraud Detection Market Forecasts and Analysis - By Type
12.5.6 South and Central America Healthcare Fraud Detection Market Forecasts and Analysis - By Application
12.5.7 South and Central America Healthcare Fraud Detection Market Forecasts and Analysis - By End-User
12.5.8 South and Central America Healthcare Fraud Detection Market Forecasts and Analysis - By Countries
12.5.8.1 Brazil Healthcare Fraud Detection Market
12.5.8.1.1 Brazil Healthcare Fraud Detection Market by Delivery Model
12.5.8.1.2 Brazil Healthcare Fraud Detection Market by Component
12.5.8.1.3 Brazil Healthcare Fraud Detection Market by Type
12.5.8.1.4 Brazil Healthcare Fraud Detection Market by Application
12.5.8.1.5 Brazil Healthcare Fraud Detection Market by End-User
12.5.8.2 Argentina Healthcare Fraud Detection Market
12.5.8.2.1 Argentina Healthcare Fraud Detection Market by Delivery Model
12.5.8.2.2 Argentina Healthcare Fraud Detection Market by Component
12.5.8.2.3 Argentina Healthcare Fraud Detection Market by Type
12.5.8.2.4 Argentina Healthcare Fraud Detection Market by Application
12.5.8.2.5 Argentina Healthcare Fraud Detection Market by End-User
12.5.8.3 Rest of South and Central America Healthcare Fraud Detection Market
12.5.8.3.1 Rest of South and Central America Healthcare Fraud Detection Market by Delivery Model
12.5.8.3.2 Rest of South and Central America Healthcare Fraud Detection Market by Component
12.5.8.3.3 Rest of South and Central America Healthcare Fraud Detection Market by Type
12.5.8.3.4 Rest of South and Central America Healthcare Fraud Detection Market by Application
12.5.8.3.5 Rest of South and Central America Healthcare Fraud Detection Market by End-User
13. IMPACT OF COVID-19 PANDEMIC ON GLOBAL HEALTHCARE FRAUD DETECTION MARKET
13.1 North America
13.2 Europe
13.3 Asia-Pacific
13.4 Middle East and Africa
13.5 South and Central America
14. INDUSTRY LANDSCAPE
14.1. MERGERS AND ACQUISITIONS
14.2. AGREEMENTS, COLLABORATIONS AND JOIN VENTURES
14.3. NEW PRODUCT LAUNCHES
14.4. EXPANSIONS AND OTHER STRATEGIC DEVELOPMENTS
15. HEALTHCARE FRAUD DETECTION MARKET, KEY COMPANY PROFILES
15.1. SCIO HEALTH ANALYTICS
15.1.1. Key Facts
15.1.2. Business Description
15.1.3. Products and Services
15.1.4. Financial Overview
15.1.5. SWOT Analysis
15.1.6. Key Developments
15.2. NORTHROP GRUMMAN
15.2.1. Key Facts
15.2.2. Business Description
15.2.3. Products and Services
15.2.4. Financial Overview
15.2.5. SWOT Analysis
15.2.6. Key Developments
15.3. SAS INSTITUTE INC
15.3.1. Key Facts
15.3.2. Business Description
15.3.3. Products and Services
15.3.4. Financial Overview
15.3.5. SWOT Analysis
15.3.6. Key Developments
15.4. OSP LABS
15.4.1. Key Facts
15.4.2. Business Description
15.4.3. Products and Services
15.4.4. Financial Overview
15.4.5. SWOT Analysis
15.4.6. Key Developments
15.5. WIPRO LIMITED
15.5.1. Key Facts
15.5.2. Business Description
15.5.3. Products and Services
15.5.4. Financial Overview
15.5.5. SWOT Analysis
15.5.6. Key Developments
15.6. IBM
15.6.1. Key Facts
15.6.2. Business Description
15.6.3. Products and Services
15.6.4. Financial Overview
15.6.5. SWOT Analysis
15.6.6. Key Developments
15.7. RELX GROUP PLC (LEXISNEXIS)
15.7.1. Key Facts
15.7.2. Business Description
15.7.3. Products and Services
15.7.4. Financial Overview
15.7.5. SWOT Analysis
15.7.6. Key Developments
15.8. HCL TECHNOLOGIES
15.8.1. Key Facts
15.8.2. Business Description
15.8.3. Products and Services
15.8.4. Financial Overview
15.8.5. SWOT Analysis
15.8.6. Key Developments
15.9. CGI GROUP INC
1. Scio Health Analytics
2. Northrop Grumman
3. SAS Institute Inc
4. OSP Labs
5. Wipro Limited
6. IBM
7. Relx Group PLC (LexisNexis)
8. HCL Technologies
9. CGI Group Inc
10. DXC Technology Company
11. Cotiviti Holdings, Inc.
12. Fair Isaac Corporation
13. Mckesson Corporation
14. Healthcare Fraud Shield
15. FraudLens, Inc.
The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.
- Data Collection and Secondary Research:
As a market research and consulting firm operating from a decade, we have published many reports and advised several clients across the globe. First step for any study will start with an assessment of currently available data and insights from existing reports. Further, historical and current market information is collected from Investor Presentations, Annual Reports, SEC Filings, etc., and other information related to company’s performance and market positioning are gathered from Paid Databases (Factiva, Hoovers, and Reuters) and various other publications available in public domain.
Several associations trade associates, technical forums, institutes, societies and organizations are accessed to gain technical as well as market related insights through their publications such as research papers, blogs and press releases related to the studies are referred to get cues about the market. Further, white papers, journals, magazines, and other news articles published in the last 3 years are scrutinized and analyzed to understand the current market trends.
- Primary Research:
The primarily interview analysis comprise of data obtained from industry participants interview and answers to survey questions gathered by in-house primary team.
For primary research, interviews are conducted with industry experts/CEOs/Marketing Managers/Sales Managers/VPs/Subject Matter Experts from both demand and supply side to get a 360-degree view of the market. The primary team conducts several interviews based on the complexity of the markets to understand the various market trends and dynamics which makes research more credible and precise.
A typical research interview fulfils the following functions:
- Provides first-hand information on the market size, market trends, growth trends, competitive landscape, and outlook
- Validates and strengthens in-house secondary research findings
- Develops the analysis team’s expertise and market understanding
Primary research involves email interactions and telephone interviews for each market, category, segment, and sub-segment across geographies. The participants who typically take part in such a process include, but are not limited to:
- Industry participants: VPs, business development managers, market intelligence managers and national sales managers
- Outside experts: Valuation experts, research analysts and key opinion leaders specializing in the electronics and semiconductor industry.
Below is the breakup of our primary respondents by company, designation, and region:
Once we receive the confirmation from primary research sources or primary respondents, we finalize the base year market estimation and forecast the data as per the macroeconomic and microeconomic factors assessed during data collection.
- Data Analysis:
Once data is validated through both secondary as well as primary respondents, we finalize the market estimations by hypothesis formulation and factor analysis at regional and country level.
- 3.1 Macro-Economic Factor Analysis:
We analyse macroeconomic indicators such the gross domestic product (GDP), increase in the demand for goods and services across industries, technological advancement, regional economic growth, governmental policies, the influence of COVID-19, PEST analysis, and other aspects. This analysis aids in setting benchmarks for various nations/regions and approximating market splits. Additionally, the general trend of the aforementioned components aid in determining the market's development possibilities.
- 3.2 Country Level Data:
Various factors that are especially aligned to the country are taken into account to determine the market size for a certain area and country, including the presence of vendors, such as headquarters and offices, the country's GDP, demand patterns, and industry growth. To comprehend the market dynamics for the nation, a number of growth variables, inhibitors, application areas, and current market trends are researched. The aforementioned elements aid in determining the country's overall market's growth potential.
- 3.3 Company Profile:
The “Table of Contents” is formulated by listing and analyzing more than 25 - 30 companies operating in the market ecosystem across geographies. However, we profile only 10 companies as a standard practice in our syndicate reports. These 10 companies comprise leading, emerging, and regional players. Nonetheless, our analysis is not restricted to the 10 listed companies, we also analyze other companies present in the market to develop a holistic view and understand the prevailing trends. The “Company Profiles” section in the report covers key facts, business description, products & services, financial information, SWOT analysis, and key developments. The financial information presented is extracted from the annual reports and official documents of the publicly listed companies. Upon collecting the information for the sections of respective companies, we verify them via various primary sources and then compile the data in respective company profiles. The company level information helps us in deriving the base number as well as in forecasting the market size.
- 3.4 Developing Base Number:
Aggregation of sales statistics (2020-2022) and macro-economic factor, and other secondary and primary research insights are utilized to arrive at base number and related market shares for 2022. The data gaps are identified in this step and relevant market data is analyzed, collected from paid primary interviews or databases. On finalizing the base year market size, forecasts are developed on the basis of macro-economic, industry and market growth factors and company level analysis.
- Data Triangulation and Final Review:
The market findings and base year market size calculations are validated from supply as well as demand side. Demand side validations are based on macro-economic factor analysis and benchmarks for respective regions and countries. In case of supply side validations, revenues of major companies are estimated (in case not available) based on industry benchmark, approximate number of employees, product portfolio, and primary interviews revenues are gathered. Further revenue from target product/service segment is assessed to avoid overshooting of market statistics. In case of heavy deviations between supply and demand side values, all thes steps are repeated to achieve synchronization.
We follow an iterative model, wherein we share our research findings with Subject Matter Experts (SME’s) and Key Opinion Leaders (KOLs) until consensus view of the market is not formulated – this model negates any drastic deviation in the opinions of experts. Only validated and universally acceptable research findings are quoted in our reports.
We have important check points that we use to validate our research findings – which we call – data triangulation, where we validate the information, we generate from secondary sources with primary interviews and then we re-validate with our internal data bases and Subject matter experts. This comprehensive model enables us to deliver high quality, reliable data in shortest possible time.
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